Cathcart Technology
Business Intelligence Lead

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A global organisation at the forefront of the energy transition requires a Reporting & Analytics Team Lead to join their team in Glasgow (hybrid).
This is a fantastic opportunity to join a business making significant investment in data, analytics, and AI. You'll play a key role in shaping how trusted enterprise data is modelled, consumed, and used to drive decision-making across a complex international organisation.
Working closely with Data Engineering, Architecture, and business stakeholders, you'll lead the delivery of scalable reporting and analytics solutions while helping define the future of modern, AI-enabled analytics.
What You'll Be Doing
- Leading the design and delivery of enterprise reporting and analytics solutions
- Developing semantic models, metrics, and trusted data layers that become the single source of truth across the business
- Working closely with Data Engineers to define data requirements, business logic, and reporting standards
- Driving best practice across data modelling, visualisation, and analytics delivery
- Supporting the adoption of AI-enabled analytics and advanced data capabilities
- Mentoring and developing team members while influencing technical direction
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You’ll ideally have most of the following
- Strong experience delivering enterprise reporting, analytics, and data modelling solutions
- Deep expertise in semantic modelling, data architecture, and BI best practices
- Hands-on experience with Microsoft Azure, Fabric, and modern data platforms
- Strong understanding of data visualisation, user experience, and self-service analytics
- Experience leading teams and working with senior stakeholders
- Exposure to AI, advanced analytics, and data science initiatives


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Why Apply?
This is a chance to join a purpose-driven organisation where data is central to business strategy. You'll have the opportunity to work with modern technologies, lead a talented team, influence technical direction, and contribute to projects with genuine global impact.
Interested? Apply now or get in touch with Matt MacAlpine at Cathcart Technology for a confidential discussion.
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